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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
A Sensitive and Robust Grid Reputation System Based on Rating of Recommenders
点击次数：
论文类型：会议论文
发表时间：2014-07-13
收录刊物：EI、CPCI-S、Scopus
页面范围：23-28
关键字：reputation system; trust model; grid environment; fake transaction; badmouthing
摘要：In this paper, we propose a sensitive and robust reputation system for service grid environments. A punishment factor is introduced to express the subjective opinion of evaluators and destroy the reputation of bad performers rapidly, which improves the sensitivity of the reputation system. By evaluating the reputation of recommenders, our solution filters out dishonest recommendations during the process of trust evaluation, thus making the reputation system more robust against vicious attacks launched by dishonest recommenders. Moreover, the introduction of inter-organizational trust enables the proposed reputation system to be more suitable for grid environments that span multiple autonomous organizations. Experimental results show that the proposed reputation system copes with changing behaviors of grid participants with high sensitivity and accuracy and works well even in extremely harsh environments full of dishonest recommenders.